logistics-optimization
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The $2,000 AI Company That Learned to Think in Trains, Proteins and Genomes
InstaDeep began in Tunis with two laptops, about $2,000 and no tidy business plan. A decade later, its algorithms route circuit boards, read genomes and sit inside BioNTech's bet on AI-designed medicine.
DeepVu
DeepVu (legal entity Vufind Inc.) is a San Ramon, California startup building AI planning agents for supply chain teams. Its platform pairs a supply-chain knowledge graph (VuGraph) enriched with macroeconomic and trade signals, a digital-twin simulator (VuSim), and reinforcement-learning decision agents (VuDecide) to make demand planning, inventory, procurement, production and logistics decisions more resilient to shocks - while trimming cost and carbon. Founded in 2016 by Moataz Rashad and Prof. Walid Aref, the company pivoted from computer-vision roots to focus on autonomous, shock-resilient supply chain planning for manufacturers and retailers.
Zuzanna Stamirowska
Zuzanna Stamirowska is the co-founder and CEO of Pathway, a Palo Alto-based AI infrastructure company building real-time data pipelines and post-transformer AI architectures. With a PhD in Complexity Science from Paris I Panthéon-Sorbonne and a background in maritime trade forecasting recognized by the U.S. National Academy of Sciences, she leads a team that counts NATO, Formula 1, and La Poste among its customers. Pathway's $10M seed round in November 2024 brought total funding to $14.5M, and the company's October 2025 launch of the Dragon Hatchling (BDH) - a brain-inspired, continual-learning architecture - positions it at the frontier of post-transformer AI.